Which recommendation technique did Netflix famously offer $1 million to anyone who could improve by at least 10% in their 2006-2009 Netflix Prize competition?

In today's competitive streaming landscape, recommendation systems are crucial for keeping viewers engaged. Major platforms like Netflix, Disney+, and HBO Max invest millions in advanced algorithms to personalize content suggestions and reduce viewer churn. But how much do you know about these sophisticated systems that influence what millions of people watch every day? Test your knowledge about the technology that shapes our viewing habits!

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Collaborative filtering algorithm
Content-based recommendation engine
Neural network prediction system
Contextual bandits approach